Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process
Figure 2
Classification results for the testing dataset by the SVM-based classifier with optimal parameters. The value represents at the sample-taken moment that the process is in normal condition, while stands for faulty condition. The top plot is the classification result between normal condition and fault 1, the middle one is the result between normal condition and fault 2, and the last plot is result between normal condition and fault 4. In the simulation of fault condition, the fault information appears from the moment of 161th sample-taken and it is pointed out by red line.
